Crowd sourced online application cache management

• US 10,757,214 B2
• Filed: 12/20/2013
• Issued: 08/25/2020
• Est. Priority Date: 12/20/2013
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Wouhaybi, Rita H, Li, Hong
• Primary Examiner(s): Nguyen, Minh Chau
• Application Number:
  US15/039,004
• Publication Number:
  US 20170006130A1
• Time in Patent Office: 2,440 Days
• Field of Search: 709213-214
• CPC Class Codes: G06F 11/3006 where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems multiprogramming arrangements G06F9/46; allocation of resources G06F9/50
• CPC Class Codes: G06F 11/302 where the computing system component is a software system
• CPC Class Codes: G06F 11/3037 where the computing system component is a memory, e.g. virtual memory, cache accessing, addressing or allocating within memory systems or architectures G06F12/00; checking stores for correct operation G11C29/00
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 2201/865 Monitoring of software
• CPC Class Codes: G06F 2201/885 Monitoring specific for caches
• CPC Class Codes: H04L 67/566 Grouping or aggregating service requests, e.g. for unified processing
• CPC Class Codes: H04L 67/5682 Policies or rules for updating, deleting or replacing the stored data

Abstract

Systems and techniques for crowd sourced online application management are described herein. A received application and an application cache policy may be identified. Execution of the application may be monitored to determine a behavior characteristic for a subset of application components. A cache policy may be determined for the subset of application components based on the monitoring. A cache improvement plan for the application may be provided based on the cache policy for the subset of application components.

Claims

1. A machine readable medium that is not a transitory propagating signal, the machine readable medium including instructions that, when executed by a machine, cause the machine to perform operations comprising:

identifying a received application and an application cache policy;

executing the application according to the application cache policy;

monitoring execution of the application to determine a behavior characteristic for a subset of application components, wherein the behavior characteristic is tracked via a cacheable score in which access to a part of a file from a member of the subset of application components increases the score and a change in content of the part of the file decreases the score;

determining a cache policy for the subset of application components based on the monitoring, wherein determining the cache policy includes determining that a first part of a file the subset of application components has a cacheable score greater than a threshold and a second part of the file has a cacheable score less than the threshold, the policy indicating that the first part of the file is a candidate for caching and indicating that the second part of the file is not a candidate for caching;

providing a cache improvement plan for the application based on the cache policy for the subset of application components;

receiving a modification of the application and a new application cache policy, the modification being a division of the file of the application into a plurality of files based on the cache improvement plan, one of the plurality of files corresponding to the first part of the file and another of the plurality of files corresponding to the second part of the file, and the new application cache policy based on the cache policy; and

executing the modification of the application according to the new application cache policy.

2. The machine readable medium of claim 1, wherein monitoring the execution of the application includes identifying components of the application.

3. The machine readable medium of claim 2, wherein identifying the components of the application includes identifying discrete data types within the application.

4. The machine readable medium of claim 2, wherein identifying the components of the application includes identifying portions of a discrete data type as a component.

5. The machine readable medium of claim 1, wherein at least one of the modification to the application or the new application cache policy results from aggregating a plurality of cache policies from different devices from different users for the subset of application components.

6. The machine readable medium of claim 5, wherein the aggregating includes combining the plurality of cache policies to create an aggregate cache policy for the subset of application components.

7. The machine readable medium of claim 1, wherein the operations further comprise:

receiving the cache improvement plan; and

providing a recommended modification to the application, the modification including dividing the application into a plurality of files, a subset of the plurality of files corresponding to the subset of application components.

8. The machine readable medium of claim 1, wherein the application cache policy includes a flag that indicates that cache policy improvement is requested for the application.

9. A system for crowd sourced distributed application cache management, the system comprising:

an initiation module to identify a received application and an application cache policy;

a processor to execute the application according to the application cache policy

a profile module to monitor execution of the application to determine a behavior characteristic for a subset of application components, wherein the behavior characteristic is tracked via a cacheable score in which access to a part of a file from a member of the subset of application components increases the score and a change in content of the part of the file decreases the score;

a dynamic cache policy module to determine a cache policy for the subset of application components based on the monitoring, wherein, to determine the cache policy, the dynamic cache policy module determines that a first part of a file the subset of application components has a cacheable score greater than a threshold and a second part of the file has a cacheable score less than the threshold, the policy indicating that the first part of the file is a candidate for caching and indicating that the second part of the file is not a candidate for caching;

a feedback module to provide a cache improvement plan for the application based on the cache policy for the subset of application components; and

a network interface to receive a modification of the application and a new application cache policy, wherein the modification is a division of the file of the application into a plurality of files based on the cache improvement plan, one of the plurality of files corresponding to the first part of the file and another of the plurality of files corresponding to the second part of the file, wherein the new application cache policy is based on the cache policy, and wherein the processor executes the modification of the application according to the new application cache policy.

10. The system of claim 9, wherein to monitor the execution of the application includes identifying components of the application.

11. The system of claim 10, wherein to identify the components of the application includes identifying discrete data types within the application.

12. The system of claim 10, wherein to identify the components of the application includes identifying portions of a discrete data type as a component.

13. The system of claim 9, wherein at least one of the modification to the application or the new application cache policy results from aggregating a plurality of cache policies from different devices from different users for the subset of application components.

14. The system of claim 13, wherein the aggregating includes combining the plurality of cache policies to create an aggregate cache policy for the subset of application components.

15. The system of claim 9, comprising a developer support platform, the developer support platform including:

a management module to receive the cache improvement plan; and

a segmentation module to provide a recommended modification to the application, the modification including dividing the application into a plurality of files, a subset of the plurality of files corresponding to the subset of application components.

16. The system of claim 9, wherein the application cache policy includes a flag that indicates that cache policy improvement is requested for the application.

17. A machine-implemented method for crowd sourced distributed application cache management, the method comprising:

identifying a received application and an application cache policy;

executing the application according to the application cache policy;

monitoring execution of the application to determine a behavior characteristic for a subset of application components, wherein the behavior characteristic is tracked via a cacheable score in which access to a part of a file from a member of the subset of application components increases the score and a change in content of the part of the file decreases the score;

determining a cache policy for the subset of application components based on the monitoring, wherein determining the cache policy includes determining that a first part of a file the subset of application components has a cacheable score greater than a threshold and a second part of the file has a cacheable score less than the threshold, the policy indicating that the first part of the file is a candidate for caching and indicating that the second part of the file is not a candidate for caching;

providing a cache improvement plan for the application based on the cache policy for the subset of application components;

receiving a modification of the application and a new application cache policy, the modification being a division of the file of the application into a plurality of files based on the cache improvement plan, one of the plurality of files corresponding to the first part of the file and another of the plurality of files corresponding to the second part of the file, and the new application cache policy based on the cache policy; and

executing the modification of the application according to the new application cache policy.

18. The method of claim 17, wherein monitoring the execution of the application includes identifying components of the application.

19. The method of claim 18, wherein identifying the components of the application includes identifying portions of a discrete data type as a component.

20. The method of claim 17, wherein at least one of the modification to the application or the new application cache policy results from aggregating a plurality of cache policies from different devices from different users for the subset of application components.

21. The method of claim 20, wherein the aggregating includes combining the plurality of cache policies to create an aggregate cache policy for the subset of application components.

22. The method of claim 17, wherein the application cache policy includes a flag that indicates that cache policy improvement is requested for the application.